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Large-scale image classification: Fast feature extraction and SVM training

Large-scale image classification: Fast feature extraction and SVM training,10.1109/CVPR.2011.5995477,Yuanqing Lin,Fengjun Lv,Shenghuo Zhu,Ming Yang,Ti

Large-scale image classification: Fast feature extraction and SVM training   (Citations: 2)
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Conference: Computer Vision and Pattern Recognition - CVPR , pp. 1689-1696, 2011
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    • ...BoW: bag of visual words, SPM: spatial pyramid matching [15], LLC: locality-constrained linear coding [30], Fisher vector [19], SVC: Super-Vector Coding [31], Lbp: local binary patterns, SGD: stochastic gradient decent [3], ASGD: averaging SGD [16]...
    • ...In an attempt to regulate the performance-runtime tradeoff, we explore different combinations of techniques used by the best performing approaches [25, 16] such as spatial pyramid matching (SPM [15]), locality-constrained...
    • ...Similar in spirit to averaging SGD (ASGD) [20, 16], we average the SVM’s weight and bias...
    • ...However, in contrast to [16] we do not average after each step, but take the mean of the results after each epoch (one pass over the data)...

    Marcus Rohrbachet al. Evaluating knowledge transfer and zero-shot learning in a large-scale ...

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